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Run a public consultation that stands up to scrutiny

Consultations run as comment boxes produce a thousand unstructured opinions and an accusation of cherry-picking. The loudest campaign wins the summary.

The short way: Structured positions plus reasons, demographics for representativeness checks, and a countable, auditable record no campaign can spin.

Ready-made templates for this

Prefer to start from a questionnaire rather than a description? These are already written.

Type this — that’s the whole job

“A public consultation on the new cycling lane proposal: support level, main reason, current travel habits, and postcode area”

Build it now — free

No setup, no tutorial. The words above go with you — review what the AI builds, then share the link.

How it works — three steps

  1. 1

    Describe the proposal and options; the AI structures positions before open comments.

  2. 2

    Collect demographics enough to check representativeness, not to identify.

  3. 3

    Publish counts by position and theme — the summary defends itself.

What’s doing the work

Structured + open pairing

A countable position AND its reason — neither the number nor the nuance is lost.

AI theming

Two thousand comment-box reasons become a dozen defensible themes.

Design exports

The exact questionnaire exports to PDF/Excel — the 'what was asked' half of the audit trail.

Questions people ask

How do we handle organised campaign responses?

Quality flags surface rapid duplicate-pattern submissions, and the position+reason structure lets you report campaign and organic volumes separately rather than pretending neither exists.

What must we keep for the record?

The questionnaire as published (design export), the response data, and the analysis method — all three export directly.

Minutes, not weeks. That’s the deal.

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